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Assessment of genetic diversity and association among agro-morphological characters in potato (Solanum tuberosum L.)

DOI: 10.18805/ijare.v50i4.11254    | Article Id: A-4432 | Page : 345-349
Citation :- Assessment of genetic diversity and association among agro-morphological characters in potato (Solanum tuberosum L.) .Indian Journal of Agricultural Research.2016.(50):345-349

Anamika Verma* and Dhirendra Singh

verma.anamika02@gmail.com
Address :

Department of Vegetable Science, College of Agriculture, G. B. Pant University of Agriculture and Technology, Pantnagar -263145, India.

Submitted Date : 24-04-2015
Accepted Date : 19-05-2016

Abstract

In the present investigation the level of diversity in 44 potato germplasm was assessed using principal component analysis (PCA) and cluster analysis and interrelationships among ten different quantitative characters was also worked out. A variation of 94.52 per cent was recorded due to first seven principal components on various genotypes. The first PC had high positive weight for plant height, average tuber weight and tuber yield per plant and second was more related to number of shoot per plant, number of tuber per plant and tuber yield per plot. The forty-four potato germplasm were grouped into eleven well distinct clusters. Genotypes belonging to cluster IV, II, IX and VIII were found diverse and best in all respect. Positive and significant correlation of tuber yield observed for plant height followed by number of shoots per plant, average weight of tuber, tuber yield per plant and marketable yield per plot. Path analysis revealed that marketable yield per plot, tuber yield per plant, number of tuber per plant and plant height had highest positive direct effect on tuber yield. 
 

Keywords

Cluster analysis Correlation Genetic diversity Path analysis Potato PCA.

References

  1. Beale, E.M.L. (1969). Euclidean cluster analysis. In: Bulletin of International Statistical Institute: Proceedings of the 37th Session (UK).
  2. Fekadu, A., Petros, Y. and Zelleke, H. (2013). Genetic variability and association between agronomic characters in some potato (Solanum tuberosum L.) genotypes in SNNPRS, Ethiopia. Indian J. Biodiversity and Cons. 5: 523-528.
  3. Hotelling, H. (1933). Analysis of complex of statistical variables into principal components. J. Educational Psych. 24 : 417-441.
  4. Khayatnezhad, M., Shahriari, R. and Gholamin, R. (2011). Correlation and path analysis between yield and yield components in potato (Solanum tubersum L.).Middle-East J. Scientific Res.7: 17-21.
  5. Lohani, M., Singh, D. and Singh, J.P. (2012). Genetic diversity assessment through principal component analysis in potato (Solanum tuberosum L.). Veg. Sci. 39 : 207-209.
  6. Lomboro, A., Petros, Y. and Andargie, M. (2014). Correlation and path coefficient analysis between yield and yield components in potato (Solanum tuberosum L.). Plant Sci. Today, 1: 196-200.
  7. Mondal, M.A.A., Hossain, M.M., Rasul, M.G. and Uddin, S.M. (2007). Genetic diversity in potato (Solanum tuberosum L.). Bangladesh J. Bot. 36: 121-125.
  8. Nickmanesh, L. and Hassanpanah, D. (2014). Evaluation of genetic diversity for agronomic traits in 127 potato hybrids using multivariate statistical methods. Indian J. Fundamental Appl. Life Sci. 4: 502-507.
  9. Panigrahi, K.K., Sarkar, K.K., Baisakh, B. and Mohanty, A. (2014). Assessment of genetic divergence in potato (Solanum tuberosum L.) genotypes for yield and yield attributing traits. Int. J. Agric. Env. Biotech. 7: 247-254.
  10. Pearson, K. (1901). On lines and planes of closest fit to systems of point in space. Philos. Mag. 2: 559-572.
  11. Rao, T.S. (1964). Advance Statistical Methods in Biometrical Research. John Willey and Sons. New York.
  12. Searle, S.R. (1961). Phenotypic, genotypic, environmental correlations. Biometrics, 17: 474-480.
  13. Upadhya, M.D. (1995). The potential of true potato seed technology for increased potato production in Bangladesh. Proceeding of the national workshop on national program for true potato seed (TPS) Bangladesh, Bangladesh Agricultural Research Council, Dhaka. 
  14. Wright, S. (1921). Correlation and causation. J. Agric. Res. 20: 557-587.
  15. Zakaria, R.A., Fathi, M. and Panah, D. H. (2007). Sequential path analysis of yield components in potato. Potato Res. 49: 273-279.
     

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